Keyword connections between scientific papers written by KTH researchers

Abstract: There is an increasing interest in understanding and visualising interactions between researchers and scientific fields. Depicting the interactions can be done multiple ways. Furthermore, when many elements are involved, graphs is a good way to illustrate the interactions. Therefore, this report will investigate the interactions between scientific fields and how the interactions may reveal the emergence of new research fields and subdisciplines. Keyword networks is a growing research field that can show a great deal about the different trends in science. The purpose of this study is more specifically to produce a keyword network based on the articles in the database DiVA, which KTH Royal Institute of Technology and other universities in Sweden use to store scientific reports. All articles published by KTH researchers between 2010-2017 were collected from DiVA by web crawling. The collected data was then used to create graphs where articles were represented by nodes and an edge between nodes was made if two articles had one or more keywords in common. The method was based on the earlier scientific study conducted by Li et al. The results showed that the number of connections between articles in-creased when more articles shared one or more keywords from the year 2010 until 2016. The year 2017 was an exception since the results drastically differed. Finally, the conclusion was that KTH’s connections in research has increased between the years 2010 and 2016. Scientists are also immersing themselves in fields rather than exploring new ones as was indicated by a decrease in new keywords associated with the papers.